Mateusz Kiebala

As the principal developer of Germany's leading hotspot marketing platform, Socialwave, I managed thousands of customers and three million users monthly, overseeing a network of 15,000 RouterOS devices. I developed, maintained, and optimized the system, implementing processes for efficient user logins and synchronizing with Salesforce, Mailjet, and UniFi controllers. Also, I introduced branding functionality for acquiring and white-labeling smaller companies.

Leading the transformation of a monolithic AWS application into a microservices architecture, I addressed the inefficiency in handling escalating traffic through a significant overhaul. Orchestrating the defragmentation process, I created a REST API, Docker images, and deployment pipelines in a self-hosted Kubernetes environment.

I played a pivotal part in addressing challenges with stakeholders in business, sales, marketing, and client support. The successful outcome was a robust, scalable, and developer-friendly microservices ecosystem based on Ruby On Rails. The transformation led to substantial user growth, increasing from 5,000 to 70,000 daily users in two years, highlighting the effectiveness of the architectural changes implemented during my tenure.

As the principal developer behind Germany's premier hotspot marketing platform, Socialwave, I spearheaded the creation of a comprehensive system designed to manage a network of 15,000 RouterOS devices. This system is comprised of a suite of interlinked Ruby on Rails services that facilitate device monitoring, seamless patching, upgrades, the establishment of direct VPN connections, and specialized software flashing. Furthermore, I engineered software embedded within the RouterOS devices, offering various customizable features, including VPN traffic routing, robust youth protection measures, and versatile VLAN configurations.

As a personal project, I independently developed a currency conversion application for both Android and iOS platforms. Utilizing Expo and React Native, I incorporated features such as offline conversion support, a vast database of over 150 currencies, and an intuitive user interface with multilingual support. To monetize the app, I integrated Google AdMob ads and offered a premium ad-free version through RevenueCat. This project highlights my proficiency in mobile app development, particularly with Expo and React Native, and my ability to deliver polished products autonomously.

I developed a system for gathering, analyzing, and managing retail and traffic data. The system consisted of thousands of IoT devices that constantly scanned the area and sent data to the system. Based on that information, we measured user flows, the number of visits, dwell time, passing-by traffic, loyalty, and much more. The system was processing millions of data points each day.

For my master thesis, I created a library that facilitates and accelerates the implementation of distributed minimal algorithms. It supports two main frameworks for writing distributed programs, Hadoop and Spark. The library's goal is to provide an intuitive and efficient API for implementing minimal algorithms. The thesis also contained implementations of minimal sample algorithms, such as ranking, prefix statistics, grouping, semi-join, and sliding aggregation.